Parameterization of the Hargreaves equation in the northern oasis of Mendoza, Argentina

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In view of the water scarcity that affects the province of Mendoza, Argentina, information on reference crop evapotranspiration (ET0) is crucial for irrigation scheduling. Data that are not generally available is required for the determination of ET0, with the Penman-Monteith FAO56 equation (PM). Th...

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Autores principales: Aguilera, Regina, Maestre-Valero, José Francisco, Martínez-Alvarez, Victoriano, Gassmann, María, Morábito, José
Formato: Artículo revista
Lenguaje:Inglés
Publicado: Facultad de Ciencias Agrarias-UNCuyo 2018
Materias:
evapotranspiración de referencia
programación de riegos
ecuación de Hargreaves
escasez hídrica
coeficientes de ajuste
reference evapotranspiration
irrigation programming
Hargreaves equation
water scarcity
adjustment coefficient
Acceso en línea:https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/2957
Aporte de:
Revista de la Facultad de Ciencias Agrarias UNCuyo de Universidad Nacional de Cuyo
id I11-R107article-2957
record_format ojs
institution Universidad Nacional de Cuyo
institution_str I-11
repository_str R-107
container_title_str Revista de la Facultad de Ciencias Agrarias UNCuyo
language Inglés
format Artículo revista
topic evapotranspiración de referencia
programación de riegos
ecuación de Hargreaves
escasez hídrica
coeficientes de ajuste
reference evapotranspiration
irrigation programming
Hargreaves equation
water scarcity
adjustment coefficient
spellingShingle evapotranspiración de referencia
programación de riegos
ecuación de Hargreaves
escasez hídrica
coeficientes de ajuste
reference evapotranspiration
irrigation programming
Hargreaves equation
water scarcity
adjustment coefficient
Aguilera, Regina
Maestre-Valero, José Francisco
Martínez-Alvarez, Victoriano
Gassmann, María
Morábito, José
Parameterization of the Hargreaves equation in the northern oasis of Mendoza, Argentina
topic_facet evapotranspiración de referencia
programación de riegos
ecuación de Hargreaves
escasez hídrica
coeficientes de ajuste
reference evapotranspiration
irrigation programming
Hargreaves equation
water scarcity
adjustment coefficient
author Aguilera, Regina
Maestre-Valero, José Francisco
Martínez-Alvarez, Victoriano
Gassmann, María
Morábito, José
author_facet Aguilera, Regina
Maestre-Valero, José Francisco
Martínez-Alvarez, Victoriano
Gassmann, María
Morábito, José
author_sort Aguilera, Regina
title Parameterization of the Hargreaves equation in the northern oasis of Mendoza, Argentina
title_short Parameterization of the Hargreaves equation in the northern oasis of Mendoza, Argentina
title_full Parameterization of the Hargreaves equation in the northern oasis of Mendoza, Argentina
title_fullStr Parameterization of the Hargreaves equation in the northern oasis of Mendoza, Argentina
title_full_unstemmed Parameterization of the Hargreaves equation in the northern oasis of Mendoza, Argentina
title_sort parameterization of the hargreaves equation in the northern oasis of mendoza, argentina
description In view of the water scarcity that affects the province of Mendoza, Argentina, information on reference crop evapotranspiration (ET0) is crucial for irrigation scheduling. Data that are not generally available is required for the determination of ET0, with the Penman-Monteith FAO56 equation (PM). The Hargreaves equation (HG), which only requires air temperature data, represents an alternative to calculate ET0, after its local or regional calibration with PM. In this paper, the Hargreaves equation was calibrated locally by means of annual (Ca) and monthly (Cm,j) adjustment coefficients for the northern oasis of Mendoza. Also, a regionalisation of the Ca was performed considering environmental variables. The local adjustment with both coefficients made it possible to correct the positive bias that indicated an overestimation of HG with respect to PM in 12 meteorological stations. The mean value of the root mean square error decreased from 0.80 mm day-1 to 0.57 mm day-1 with the Ca adjustment coefficient, and to 0.55 mm day-1 with the Cm,j adjustment coefficient, while the absolute error decreased from 0.63 to 0.42 and 0.39, respectively. Wind speed was the variable that best explained the regional variability of the Ca (R2 = 0.64).
publisher Facultad de Ciencias Agrarias-UNCuyo
publishDate 2018
url https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/2957
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first_indexed 2022-06-20T13:52:00Z
last_indexed 2022-06-20T13:52:00Z
bdutipo_str Revistas
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